ArticleInternational journal of general medicine2022
Hematological Parameter as Predictor Mortality in Acute Myocardial Infarction Patients.
Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Diagnostic Performance of Complete Blood Count Derived Indices for Acute Coronary Syndrome in Emergency Department Patients With Acute Chest Pain: A Single-Center Retrospective Diagnostic Accuracy Study.Health science reports · 2026Article
- The diagnostic value of miR-1299 in acute myocardial infarction.Journal of cardiothoracic surgery · 2026Article
- Predictive value of ALBI score in assessing prognosis of NSTEMI: a retrospective cohort study.Frontiers in cardiovascular medicine · 2026Article
- Beyond Conventional Blood Parameters: Novel Hematologic Indices for Interpretable Artificial Intelligence in Acute Myocardial Infarction.Journal of clinical practice and research · 2025Article
- Using eosinophil response to predict cardiovascular outcomes in patients with ST- elevation myocardial infarction who undergo primary percutaneous coronary intervention.International journal of cardiology. Cardiovascular risk and prevention · 2025Article
- Eosinophil percentage and platelet counts: Association with in-hospital mortality in ST-segment elevated myocardial infarction.ARYA atherosclerosis · 2024Article
- The association between the MELD-XI score and heart failure in patients with acute myocardial infarction after coronary artery stenting-a retrospective study.Journal of thoracic disease · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Acute myocardial infarction (AMI) is one of the leading causes of death in the world. Several hematological parameters are involved in AMI conditions and can be explored for their ability to predict in-hospital mortality. We evaluated hematological parameter value as predictors of in-hospital mortality in AMI patients. Patients and Methods: Analytical observational study on AMI patients that admitted to Dr. Saiful Anwar Hospital, June-August 2021. Complete blood count was taken at the beginning of hospital admission. Patients with sepsis were excluded from the study. The research subjects were divided into two groups, survivor group and non-survivor group (in-hospital mortality). Hematological parameters as predictors of mortality were analyzed using the ROC curve and odds ratio. Results: Among 44 study subjects, 19 (43.18%) patients were in the non-survivor group and 25 (56.82%) patients were in the survivor group. Hematological parameters that can be predictors of mortality include leukocytes (AUC = 0.744; p = 0.006), neutrophils (AUC = 0.729; p = 0.010), eosinophils (AUC = 0.696; p = 0.028), and eosinophils/leukocytes ratio (AUC = 0.772; p = 0.012). The cut-off value for leukocytes was 13,725/μL (OR: 9), neutrophils was 12,008/μL (OR: 8.14), eosinophils was 58.3/μL (OR: 4.06), and eosinophil/leukocyte ratio was 0.0025 (OR: 4.41) with sensitivity 63.25%, 52.6%, 78.9%, and 63.2%, respectively, and specificity 84%, 88%, 52%, and 72%, respectively. Conclusion: Leukocyte, neutrophils, eosinophils count and eosinophil/leukocyte ratio can help predict in-hospital mortality of AMI patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.